Add to ORKGThe presented Czech Named Entity Corpus 1.0 is the first publicly available corpus providing a large body of manually annotated named entities in Czech sentences, including a fine-grained classification
Abstract. Named Entity Recognition (NER) is an important prepro-cessing tool for many Natural Langua...
CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institut...
CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institut...
The presented Czech Named Entity Corpus 1.0 is the first publicly available corpus providing a large...
Czech Named Entity Corpus 2.0 is a corpus of 8993 Czech sentences with manually annotated 35220 Czec...
This paper deals with recognition of named entities in Czech texts. We present a recently released c...
Czech Named Entity Corpus 1.1 fixes some issues of the Czech Named Entity Corpus 1.0: misannotated e...
Czech Named Entity Corpus 2.0 is a corpus of 8993 Czech sentences with manually annotated 35220 Czec...
Named entities are collocations used to refer to real world objects in text. Named entity normalizat...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
The Prague family of annotated corpora has a new member, the Czech Academic Corpus version 2.0 (CAC ...
International audienceWe present initial results in the named entity annotation subtask of a project...
Abstract. Named Entity Recognition (NER) is an important prepro-cessing tool for many Natural Langua...
CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institut...
CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institut...
The presented Czech Named Entity Corpus 1.0 is the first publicly available corpus providing a large...
Czech Named Entity Corpus 2.0 is a corpus of 8993 Czech sentences with manually annotated 35220 Czec...
This paper deals with recognition of named entities in Czech texts. We present a recently released c...
Czech Named Entity Corpus 1.1 fixes some issues of the Czech Named Entity Corpus 1.0: misannotated e...
Czech Named Entity Corpus 2.0 is a corpus of 8993 Czech sentences with manually annotated 35220 Czec...
Named entities are collocations used to refer to real world objects in text. Named entity normalizat...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
As the number of digitized archival documents increases very rapidly, named entity recognition (NER)...
The Prague family of annotated corpora has a new member, the Czech Academic Corpus version 2.0 (CAC ...
International audienceWe present initial results in the named entity annotation subtask of a project...
Abstract. Named Entity Recognition (NER) is an important prepro-cessing tool for many Natural Langua...
CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institut...
CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institut...